Evidence map›Paper›PMID 39762807›Full record

ArticleBMC public health2025

Determinants of health seeking behaviour in South Sudan: a cross-sectional household survey.

Ilja Obels, Harry Laurence Selby Coleman, Masja Straetemans, Margo van Gurp, George William Lutwama, Eelco Jacobs

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ilja ObelsFaculty of Medical Sciences, Radboud University, Nijmegen, The Netherlands.
Harry Laurence Selby ColemanKIT Royal Tropical Institute, Amsterdam, The Netherlands.
Masja StraetemansKIT Royal Tropical Institute, Amsterdam, The Netherlands.
Margo van GurpKIT Royal Tropical Institute, Amsterdam, The Netherlands.
George William LutwamaKIT Royal Tropical Institute, Amsterdam, The Netherlands.
Eelco JacobsKIT Royal Tropical Institute, Amsterdam, The Netherlands. e.jacobs@kit.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccess to healthcare is a major challenge in South Sudan, but evidence on the factors influencing health seeking behaviour (HSB) and the magnitude of their effect is limited. This study aims to identify which determinants are associated with seeking care for perceived health needs and with seeking care at private or public healthcare facilities in South Sudan.

methodsA cross-sectional household survey was conducted in three purposefully-selected states (Central Equatoria, Western Equatoria and Warrap). A multi-stage, cluster sampling design was used. Univariable and multivariable logistic regression models were computed to explore the relationships between seeking care for perceived health needs and choice of facility, and individual and household characteristics based on an adapted Levesque framework.

resultsWe identified that individuals who obtained medication (OR 2.45, 95% CI 1.15-5.23), obtained and paid for medication (OR 4.26, 95% CI 2.08-8.74), lived in Western-Equatoria (OR 9.05, 95% CI 2.35-34.54), and were aware of community health workers (CHWs) (OR 1.70, 95% CI 1.08-2.67), were significantly more likely to seek care for a perceived health need. Individuals who obtained and paid for medication (OR 3.03, 95% CI 1.59-5.81) and who lived further from a public health centre (OR 1.19, 95% CI 1.09-1.31) were more likely to seek care at a private facility, while individuals who had used the provider before (OR 0.52, 95% CI 0.34-0.78), lived in Western Equatoria (OR 0.24, 95% CI 0.13-0.46), lived in a rural household (OR 0.40, 95% CI 0.23-0.70) and had a longer travel time to the visited health facility, were less likely to seek care at a private facility.

conclusionsSurvey respondents' state of residence and awareness of CHWs were associated with health seeking, while their state of residence, age, whether they paid for medication or not, travel time and distance to facilities were associated with choice of facility. Our results suggest differences in patterns of HSB between states, but studies with larger sample sizes are needed to analyse this. Furthermore, qualitative studies into access to healthcare in South Sudan could help characterise the nature of determinants and their relationship.

Indexed as

Health Services AccessibilityPatient Acceptance of Health CareAdolescentAdultCross-Sectional StudiesFamily CharacteristicsFemaleHumansMaleMiddle AgedSouth SudanYoung AdultDeterminantsFragile statesHealthcare accessHealthcare utilisationHealth seeking behaviourHealth systemsHealth systems strengtheningHousehold surveySouth Sudan

Identifiers

PMID39762807
PMCPMC11702148

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.